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Estimating severity level of cotton disease based on spcctral indicse of TM image

文献类型： 外文期刊

作者： Chen Bing 1 ; Li Shao-Kun 1 ; Wang Ke-Ru 1 ; Su Yi 1 ; Chen Jiang-Lu 1 ; Jin Xiu-Liang 1 ; Lv Yin-Liang 1 ; Diao Wan-Ying 1 ;

作者机构： 1.Shihezi Univ, Key Lab Oasis Ecol Agr Xinjiang Corps, Shihezi 832003, Peoples R China

2.Chinese Acad Agr Sci, Minist Agr, Inst Crop Sci, Key Lab Crop Physiol & Prod, Beijing 100081, Peoples R China

3.Xinjiang Acad Agr Reclamat Sci, Inst Cotton, Shihezi 832000, Peoples R China

关键词： Cotton;Disease severity level;TM image;Spectral indices;Estimation models

期刊名称：JOURNAL OF INFRARED AND MILLIMETER WAVES （ 影响因子：0.557； 五年影响因子：0.445 ）

ISSN： 1001-9014

年卷期： 2011 年 30 卷 5 期

页码：

收录情况： SCI

摘要： The cotton field infected by Verticillum wilt was investigated with both the multi-temporal TM images and the field survey simultaneously. A model of evaluating disease severity of the cotton was established by analyzing the correlation between spectral indices of TM image and severity level (SL) of the disease. The results indicated that with an increase of disease SLs, the values of spectral indices B2,B4,SATVI,OSAVI,MSAVI,TSAVI,SVNSWI,SNSWIa,SNSWIb,SVNI,DNSIa,DNSIb,NDSWIa,NDSWIb,RNSWIa,RNSWIb,DVNI,EVI,TVI,SAVI,DVI,NDVI,RVI and PVI declined slowly, B1, B3, B7 and RI increased gradually, NDGI increased at first and then decreased,while B5 exhibited a trend of decrease-increase with an increase of disease SLs. The SLs of disease were highly significantly positive correlated with the spectral indices values of B1,B3 and RI, highly significantly negative correlated with the spectral indice values of B4,OSAVI,MSAVI,TSAVI,SVNSWI, SNSWIa,SNSWIb, SVNI, DNSIa, DNSIb,NDSWIa, NDSWIb, RNSWIa, RNSWIb, DVNI, EVI, TVI, NDGI, SAVI, DVI, NDVI, RVI and PVI, significantly negative correlated with the spectral indice values of SATVI, and no significantly correlated with the spectral indice values of B2,B5 and B7. All of the eight spectral indices of TM image selected achieved significant correlation level. However, the linear models on the basis of DVI and DNSIb had the best estimating precision. This study demonstrated that it is feasible to estimate quantitatively the SL of cotton disease using the spectral indices of TM satellite image.

  • 相关文献

[1]Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image. Chen, Bing,Wang, Keru,Li, Shaokun,Xiao, Chunhua,Chen, Jianglu,Jin, Xiulinag,Wang, Keru,Li, Shaokun,Chen, Bing.

[2]Fine mapping of clustered quantitative trait loci for fiber quality on chromosome 7 using a Gossypium barbadense introgressed line. Cao, Zhibin,Zhu, Xiefei,Zhang, Tianzhen,Chen, Hong.

[3]Research of Cotton Canopy Characteristic Information by Hyperspectral Remote Sensing Data. Qi Ya-qin,Lv Xin,Duan Zhen-yu. 2013

[4]Genome-wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.). Li, Tinggang,Ma, Xuefeng,Li, Nanyang,Zhou, Lei,Gui, Yuejing,Bao, Yuming,Chen, Jieyin,Dai, Xiaofeng,Liu, Zheng,Han, Huanyong. 2017

[5]Study on Spectrum Characteristics of Cotton Leaf and Its Estimating with Remote Sensing under Aphid Stress. Chen Bing,Wang Ke-ru,Li Shao-kun,Chen Jiang Lu,Su Yi,Wang Ke-ru,Li Shao-kun,Chen Bing,Jing Xia. 2010

[6]Research of Influence Factors on Spectral Recognition for Cotton Leaf Infected by Verticillium wilt. Chen Bing,Wang Fang-yong,Han Huan-yong,Liu Zheng,Chen Bing,Xiao Chun-hua,Zou Nan. 2014

[7]Fine mapping the QTL qFS-chr.23, using a CSIL. Wang, Youwu,Zhang, Jingchuan,Kong, Guangchao,Lin, Hai.

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